Mining Massive Datasets (IN2323)
Course 0000001523 in WS 2015/6
General Data
| Course Type | Lecture w/ Exercise |
|---|---|
| Semester Weekly Hours | 4 SWS |
| Organisational Unit | Informatics 3 - Chair of database systems (Prof. Kemper) |
| Lecturers | |
| Dates |
Assignment to Modules
-
IN2323: Machine Learning for Graphs and Sequential Data / Machine Learning for Graphs and Sequential Data
This module is included in the following catalogs:- Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | • Overview: Data Mining and Knowledge Discovery Process, Machine Learning • Systems for processing/analyzing large datasets • Large-scale mining/learning, distributed optimization • Clustering, Nearest-Neighbor Search • Locality Sensitive Hashing, Sketches • Dimensionality reduction • Mining graph and network data • Mining temporal data • Applications (e.g. fraud detection, recommendation, community detection) |
|---|---|
| Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |